MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
12272
Single Precision Score
14594
Half Precision Score
13433
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AwoidObi |
| Upload Date | May 27 2025 10:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6155
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6650
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6143
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10719
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11841
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11313
183.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45375
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
47040
54.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
46351
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
6027
478.0 IPS |
|
|
Object Detection (HP)
|
100% |
6423
509.5 IPS |
|
|
Object Detection (Q)
|
92% |
5742
458.3 IPS |
|
|
Face Detection (SP)
|
100% |
17555
208.6 IPS |
|
|
Face Detection (HP)
|
100% |
22840
271.4 IPS |
|
|
Face Detection (Q)
|
100% |
18034
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27690
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29736
229.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
27272
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
92976
119.5 IPS |
|
|
Style Transfer (HP)
|
100% |
104509
134.3 IPS |
|
|
Style Transfer (Q)
|
96% |
101674
131.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15014
554.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16323
602.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13924
514.1 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5075
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4927
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3017
52.1 IPS |
